A survey on machine learning techniques for massive MIMO configurations: Application areas, performance limitations and future challenges

PK Gkonis - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled
the support of highly demanding applications, paving the way towards global broadband …

Towards intelligent user clustering techniques for non-orthogonal multiple access: a survey

SM Hamedoon, JN Chattha, M Bilal - EURASIP Journal on Wireless …, 2024 - Springer
With the increasing user density of wireless networks, various user partitioning techniques or
algorithms segregate users into smaller, more manageable clusters. The benefit of user …

Resource allocation in downlink VLC-NOMA systems for factory automation scenario

WJ Ryu, JW Kim, DS Kim - Sensors, 2022 - mdpi.com
Industry 4.0 requires high-speed data exchange that includes fast, reliable, low-latency, and
cost-effective data transmissions. As visible light communication (VLC) can provide reliable …

Uplink Capacity Enhancement for Workload-weighted FD-SWIPT-NOMA Networks Based on Deep Learning

Z Feng, C Du, H Liu, J An… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The next generation mobile communication system has put forward higher requirements for
uplink capacity. A system integrating full-duplex (FD), non-orthogonal multiple access …

A novel user clustering and efficient resource allocation in non-orthogonal mutliple access for IoT networks

SM Hamedoon, JN Chattha, M Bilal - PloS one, 2024 - journals.plos.org
Optimal resource allocation is crucial for 5G and beyond networks, especially when
connecting numerous IoT devices. In this paper, user clustering and power allocation …

A novel full-duplex relay selection and resource management in cooperative SWIPT NOMA networks

MB Shirazi, MR Zahabi - Journal of Electrical and Computer …, 2023 - jecei.sru.ac.ir
Background and Objectives: Non-orthogonal multiple access (NOMA) is a promising
solution to meet a high data rate demand in the new generation of cellular networks …

[HTML][HTML] Adoption of ChatGPT by university students for academic purposes: Partial least square, artificial neural network, deep neural network and classification …

A Mahmud, AH Sarower, A Sohel, M Assaduzzaman… - Array, 2024 - Elsevier
Given the limited extent of study conducted on the application of ChatGPT in the realm of
education, this domain still needs to be explored. Consequently, the primary objective of this …

Utilizing Non-Orthogonal Multiple Access for Both Latency and Energy Efficiency Improvement in TSCH-Based WSNs

N Gholami, N Moghim, M Ghazvini, S Haghani - IEEE Access, 2022 - ieeexplore.ieee.org
Non-Orthogonal Multiple Access (NOMA) is one of the promising technologies for wireless
communication networks. Although NOMA was originally proposed in cellular networks, due …

NOMA Resource Allocation Method Based on Prioritized Dueling DQN-DDPG Network

Y Liu, Y Li, L Li, M He - Symmetry, 2023 - mdpi.com
To address the need for massive connections in Internet-of-Vehicle communications, local
wireless networks utilize non-orthogonal multiple access (NOMA). Scholars have introduced …

Deep learning technique for power domain non-orthogonal multiple access using optimised LSTM in cooperative networks

K Gopalun, DJ Samuvel - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak Non-orthogonal Multiple Access (NOMA) is the technique proposed for multiple
accesses in the fifth-generation (5G) cellular network. In NOMA, different users are allocated …